SHS Web Conf.
Volume 57, 2018The 10th Jubilee Scientific Conference – InfoGlob 2018
|Number of page(s)||10|
|Section||Sustainable Development and Socio-Economic Development|
|Published online||26 November 2018|
Social media and efficient computer infrastructure in smart city
Warsaw University of Technology, Faculty of Mathematics and Information Sciences, 75 Koszykowa St., 00-662 Warsaw, Poland
2 Gdynia Maritime University, Faculty of Management and Commodity, 81-87 Morska St., 81-225 Gdynia, Poland
3 Gdańsk University of Technology, Faculty of Electronics, Telecommunication and Informatics, 11/12 Narutowicza St., 82-230 Gdańsk, Poland
* Corresponding author: J.Balicki@mini.pw.edu.pl
Social media require an efficient infrastructures of computer and communication systems to support a smart city. In a big city, there are several crucial dilemmas with a home and public space planning, a growing population, a global warming, carbon emissions, a lack of key resources like water and energy, and a traffic congestion. In a smart city, we expect an efficient and sustainable transportation, efficient management of resources and a better urban planning. In this paper, social media are proposed to support smart city with efficient computer infrastructure. Moreover, some methods are described to increase the availability and efficiency of an information infrastructure. Two criteria have been formulated to assign some key resources in a smart city system. The process of finding some compromise solutions from Pareto-optimal solutions has been illustrated. Metaheuristics o f collective intelligence, including particle swarm optimization PSO, ant colony optimization ACO, an algorithm of bee colony ABC, and differential evolution DE have been described due to smart city infrastructure improving. Other application of above metaheuristics in smart city have been also presented.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.